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ABSTRACT
Graph coloring has several important applications inVLSI CAD. Since graph coloring is NP-complete, heuristics are used to approximate the optimum solution. But heuristic solutions are typically 10% off, and as much as100% off, the minimum coloring. This paper shows thatsince real-life graphs appear to be 1-perfect, one can indeed solve them exactly for a small overhead.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 17
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Marek Perkowski , Rahul Malvi , Stan Grygiel , Mike Burns , Alan Mishchenko, Graph coloring algorithms for fast evaluation of Curtis decompositions, Proceedings of the 36th ACM/IEEE conference on Design automation, p.225-230, June 21-25, 1999, New Orleans, Louisiana, United States
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Mukul R. Prasad , Philip Chong , Kurt Keutzer, Why is ATPG easy?, Proceedings of the 36th ACM/IEEE conference on Design automation, p.22-28, June 21-25, 1999, New Orleans, Louisiana, United States
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Yu Huang , Sudhakar M. Reddy , Nilanjan Mukherjee , Chien-Chung Tsai , Omer Samman , Yahya Zaidan , Yanping Zhang , Wu-Tung Cheng, Constraint Driven Pin Mapping for Concurrent SOC Testing, Proceedings of the 2002 conference on Asia South Pacific design automation/VLSI Design, p.511, January 07-11, 2002
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